Abstract

We consider a dynamic model that simulates the interaction of TCP
sources with active queue management system (AQM). We propose a
modified version of an earlier dynamic model called RED. This is
governed by a system of stochastic differential equations driven
by a doubly stochastic point process with intensity as the
control. The feedback control law proposed observes the router
(queue) status and controls the intensity by sending congestion
signals (warnings) to the sources for adjustment of their
transmission rates. The (feedback) control laws used are of
polynomial type (including linear) with adjustable coefficients.
They are optimized by use of genetic algorithm (GA) and random
recursive search (RRS) technique. The numerical results
demonstrate that the proposed model and the method can improve the
system performance significantly.

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